Jarg Corporation Seeks Sponsors/Partners, Who: Identify Solutions To Problems With Our Pilot (life science) Demonstrations of: Effective Semantic Use of large Ontologies (UMLS) Effective Achievement of Both Excellent Semantic Precision & Recall of Results Effective High-scale & High Performance (Google-like) Database Architecture Show Operational Life Science Applications - as Future Potential for: FEA Search & Retrieval Extraction From New Docs, “concepts” to match / append Agency Official Meta Tags Ideas for Semantic Domain Collaborations in: Avian Flu Pandemic threats Early detection of developing disaster recovery problems Early detection of developing terrorist threats Federal Enterprise - Semantic Future

Core Base Search & Retrieval Interoperability, Beyond METADATA Semantic Query Access and SW Agent Alerts Dynamic Situation-Awareness, SW Agent-based Search Unified “ Content Awareness ” Throughout The Federal Enterprise Multimedia ’ s “ Native Content ” & Geospatial Search Jarg – SemanTx Life Science Unique-Identifier Combined Index Ontologies

Your Well-Articulated Need ! Domain Ontology’s Contextual Meaning Cluster Pattern Match Syntactic Taxonomy Entity Extraction Word Match/Key Words Directory Ranked By Fit-To Context Bottom-Up Filtering Clearforest Quigo (categorization) Google MSN Verity, Convera, Endeca iPhrase Yahoo Inxight, Fast Autonomy Search Today Top-Down Semantic Results

Knowledge Representation Extracted development test produces is_a measures eukaryotic telomericeukaryote recombinationtelomerecell chromosome process Is_a Is_a property_of location_of Telomeres, the physical ends of chromosomes, are essential for maintaining chromosome stability and structure. The mechanisms that maintain the simple sequences present at the telomere within a discrete distribution is poorly understood. One such mechanisms, termed rapid deletion events (RPD) has been described in our laboratory to occur frequently in Saccha- Development of an Assay for Eukaryotic Telomeric Recombination assay Both The Info Source and The Query Ontology’s Query Expansion

Step 3: Review highlighted contextual answer within document Step 1: Enter query in plain English Step 2: Proves match results Process Overview & Advantages Answers returned, ranked by contextual relevance (solves relevance and scalability issues) Allows for cross-disciplinary research to shorten drug discovery & clinical response cycles

Filtering By Meaning A Fresh, Scalable, High Performance Approach Sub-Ontology based semantic object-parsing –Enables capture of context for the extraction of “understood features” from within all forms of information to be “semantically represented” then indexed in a common semantic (“fragment”) unique-identifier format Semantically-rich (complex queries) express the context of your need –Return a “collage” of rich-media results –Each result prioritized by its contextual fit to a user’s need

Jarg Corporation/SemanTx Life Sciences 330 Bear Hill Road, Suite 230 Waltham, MA (USA) Attn: Michael P. Belanger, x206, Thank you. Links to resources: Boston Children’s Hospital “Smart Search” “Semantic PubMed” Massachusetts General Hospital